Students act on feedback when it is timely, credible, and personal
Updated Jun 10, 2026
feedbackStudents do not ignore feedback because they dislike critique. They ignore it when it arrives too late, feels generic, or seems to come from someone who does not really know their work. At Student Voice AI, we see the same pattern in student voice data on assessment and feedback. That is why Alison Willis, Tracey Sempowicz and Ann Robertson's Teaching in Higher Education paper, "University student experiences of feedback: timing and credibility are key", matters for UK universities. The study shows that students value challenging feedback, but only when it is timely enough to use and credible enough to trust.
Context and research question
Assessment feedback sits at the centre of a long-running higher education problem. Universities invest staff time in writing comments, rubrics, and scores, yet many students still describe feedback as unclear, demotivating, or hard to use. In the UK, that matters far beyond one module. Assessment and feedback themes run through NSS comments, module evaluations, student support conversations, and quality reviews, so weak feedback practice quickly becomes a wider student experience issue.
Willis, Sempowicz and Robertson examine that problem through a phenomenological case study in initial teacher education at the University of the Sunshine Coast in Australia. The study drew on four focus groups with 11 final-year students across undergraduate and Master of Teaching programmes. That context is especially relevant now because the case sits in a post-COVID environment shaped by more online and asynchronous learning, a new learning management system, and growing interest in AI-supported feedback. The paper asks a practical question UK teams should recognise immediately: how do students actually experience feedback, and what makes them treat it as useful, untrustworthy, or easy to ignore?
Key findings
Students wanted feedback they could act on, not feedback they had to decode. Participants valued comments that were specific to their submission, linked clearly to improvement, and detailed enough to be useful without becoming overwhelming. They disliked feedback that was too thin, such as ticks, scores, or vague praise, but they also rejected overlong comments that turned into a demoralising list of minor faults. In practice, the issue was not simply quantity. It was whether the comment helped them do something better next time.
Timing changed the perceived value of feedback. One of the clearest findings was that students often valued pre-assessment and tutorial-based feedback more than post-assessment comments, because they could still use it before submission. Draft discussions, quick verbal checks, and formative exchanges in class were often described as more helpful than lengthy comments delivered after the grade was fixed. That aligns closely with the sector push toward pre-grade feedback, and it reminds universities that usefulness depends on when feedback enters the learning process, not only on how carefully it is worded.
Credibility depended heavily on the marker relationship. Students were more likely to trust and carry forward feedback from tutors they knew, respected, and could recognise in the comments. Feedback from unknown markers felt riskier, especially when it seemed harsh, inconsistent with prior guidance, or disconnected from the way the task had been taught. That helps explain why students judge feedback comments as fairer when they are usable: clarity and fairness are not separate from trust. They are part of the same judgement.
Generic or blanket feedback could trigger active disengagement. Students in the study did not simply say that generic comments were unhelpful. Some described them as offensive, because they signalled low care and weak attention to the actual work submitted. One participant's reaction to blanket feedback captures the problem sharply:
"Cool, I don't care what you have to say anymore."
That is a useful warning for universities experimenting with comment banks, outsourced marking, or automated feedback tools. The paper does not argue against efficiency. It shows that when feedback feels impersonal, students may stop treating it as educationally serious.
Feedback was also emotional, not only informational. Tone, timing, and marker credibility shaped whether students felt motivated, deflated, defensive, or dismissed. A harsh or badly timed comment could make a student avoid feedback altogether, while personalised comments from a trusted tutor made students more willing to listen and improve. That emotional layer matters because feedback systems are often designed as if student uptake were a purely rational process.
Practical implications
UK universities should first treat feedback timing as a design decision rather than an administrative afterthought. If the most actionable comments arrive after students can no longer use them, the institution has paid for information with little learning value. Small draft checkpoints, structured tutorial feedback, and short pre-submission review moments can often do more for learning than longer end-point comments. The benefit is straightforward: students get guidance while change is still possible.
Second, institutions should protect the credibility of feedback by strengthening the connection between teaching, marking, and follow-up dialogue. Where marking must be distributed, students need clearer explanation of standards, stronger marker calibration, and an easy route to ask questions afterwards. If not, feedback quickly starts to feel like an external judgement rather than part of teaching. That gives programme teams a more trusted feedback system, which is more likely to improve future work.
Third, universities should analyse feedback comments as system evidence, not just as isolated complaints. Module evaluations, assessment pulse surveys, and NSS open-text responses often contain repeated signals about delay, generic wording, unclear rubrics, inconsistent markers, and weak opportunities for dialogue. This is where Student Voice Analytics fits naturally: it helps institutions group those recurring themes in free-text comments at scale, so leaders can see whether the real issue is turnaround, comment quality, staffing pressure, or assessment design. The benefit is clearer diagnosis before teams start fixing the wrong problem.
Finally, universities should be cautious about using AI or generic feedback tools as substitutes for credibility. This paper does not claim that technology has no role. It does show, however, that feedback only works when students believe it is attentive, accurate, and educationally grounded. That warning sits neatly beside recent evidence that students find AI feedback useful, but not personal enough to trust on its own. The practical takeaway is to use efficiency tools in ways that support human judgement, not replace the trust that makes feedback usable.
FAQ
Q: How should a university redesign feedback practice after reading this paper?
A: Start by mapping where students can still act on feedback before a grade is fixed. Build at least one pre-submission checkpoint into high-stakes tasks, make follow-up questions easy after marking, and review whether comments are specific enough to guide revision. If student comments repeatedly mention delay, generic wording, or inconsistent standards, treat that as a process problem rather than a communication problem.
Q: What should UK teams keep in mind before generalising from this study?
A: This is a context-specific phenomenological case study based on four focus groups with 11 students in initial teacher education at one Australian university. It is not designed to estimate prevalence across the sector. Its value lies in explaining mechanisms: why students trust some feedback, ignore other feedback, and react strongly to timing, tone, and marker credibility. UK teams should use it as a diagnostic lens for their own survey comments and module evaluation data.
Q: What does this change about student voice practice more broadly?
A: It shifts attention from asking whether students were "given feedback" to asking whether the feedback system is believable and usable from the student's point of view. Student voice becomes more useful when universities collect open comments not only on turnaround time, but also on specificity, emotional impact, consistency, and trust. That gives assessment teams better evidence on what students are actually experiencing, not just how the policy is supposed to work.
References
[Paper Source]: Alison Willis, Tracey Sempowicz and Ann Robertson "University student experiences of feedback: timing and credibility are key" DOI: 10.1080/13562517.2025.2605679
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